Carlo N. De Cecco

Associate Professor of Radiology and Biomedical Informatics

Emory University

United States

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About

Carlo N. De Cecco is an Associate Professor of Radiology and Biomedical Informatics at Emory University, USA. His research focuses on artificial intelligence applications in radiology, cardiovascular imaging, and the assessment of coronary artery disease. Recent publications include studies on AI for CAD-RADS, augmented reality in 3D cardiac imaging, and the impact of COVID-19 on radiological outcomes.

Articles (19)

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2025

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2021

Collaborators (9)

ROBERTA MONTISCI

Professore Associato

Università degli Studi di Cagliari Cittadella Universitaria

ITALY

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Antonio Giulio Gennari

University Children's Hospital Zurich

SWITZERLAND

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Sung Ho Hwang

Professor

Korea University

SOUTH KOREA

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Nina Wawro

Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit

GERMANY

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Corinna Storz

University Medical Center Freiburg

GERMANY

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Hwan Seok Yong

professor

Seoul National University Hospital

SOUTH KOREA

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Scott Lee

Assistant Professor

Emory University Hospital

UNITED STATES

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Hyeri Seok

Yeungnam University Medical Center

SOUTH KOREA

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Hangseok Choi

Yonsei University College of Medicine

SOUTH KOREA

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Carlo N. De Cecco

Research Interests

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About

Articles (19)

In Memoriam

Is AI for CAD-RADS 2.0 Ready for Prime Time?

3D cinematic reconstructions of cardiovascular CT presented in augmented reality: subjective assessment of clinical feasibility and potential use cases

Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases

COVID-19’s Radiologic, Functional, and Serologic Consequences at 6-Month and 18-Month Follow-up: A Prospective Cohort Study

Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes

Whys and Wherefores of Coronary Arterial Positive Remodeling

Can Radiomics Help in the Identification of Vulnerable Coronary Plaque?

Artificial intelligence in cardiac imaging: where we are and what we want

Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care

Thoracic Aortic Calcium Density and Area in Long-Term Atherosclerotic Cardiovascular Disease Risk Among Men Versus Women

Evaluating the Performance of a Convolutional Neural Network Algorithm for Measuring Thoracic Aortic Diameters in a Heterogeneous Population

Evaluating the Performance of a Convolutional Neural Network Algorithm for Measuring Thoracic Aortic Diameters in a Heterogeneous Population

Bridging the Gap between Structured and Free-form Radiology Reporting: A Case-study on Coronary CT Angiography

Cardiac Magnetic Resonance Tissue Characterization in Ischemic Cardiomyopathy

Multimodality Imaging in Ischemic Chronic Cardiomyopathy

The Journal of cardiovascular computed tomography: A year in review 2021

Tumorous tissue characterization using integrated 18F-FDG PET/dual-energy CT in lung cancer: Combining iodine enhancement and glycolytic activity

Dietary habits and the presence and degree of asymptomatic diverticular disease by magnetic resonance imaging in a Western population: a population-based cohort study.

Collaborators (9)

ROBERTA MONTISCI

Antonio Giulio Gennari

Sung Ho Hwang

Nina Wawro

Corinna Storz

Hwan Seok Yong

Scott Lee

Hyeri Seok

Hangseok Choi

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